Introduction to Artificial Intelligence

Chapter Index:

1) What is Artificial Intelligence?
2) What Comprises to Artificial Intelligence?
3) Applications of Artificial Intelligence?
4) Subsets of Artificial Intelligence
5) What is Machine Learning?
6) What is Deep Learning?
7) Artificial Intelligence Job Profiles


1) What is Artificial Intelligence?

Artificial Intelligence,

Artificial means – “man-made,”

and intelligence means “thinking power “

Artificial and Intelligence (a man-made thinking power)

  • AI is a science and engineering of making intelligent machines, especially intelligent computer programs.
  • Artificial Intelligence is a way of making a computer, a computer-controlled robot, or a software think intelligently, in the similar manner the intelligent humans think.

Prerequisites to learn Artificial Intelligence:

i) Any computer language such as C, C++, Java, Python, etc.(knowledge of Python will be an advantage)

ii) Knowledge of Mathematics


2) What Comprises to Artificial Intelligence?

There are a lot of Areas which contribute to Artificial Intelligence:

i) Computer Science
ii) Mathematics
iii) Sociology
iv) Philosophy
v) Psychology
vi) Neuro Science
vii) Biology


3) Applications of Artificial Intelligence?

  • Artificial Intelligence has various applications, It is becoming essential for today’s time because it can solve complex problems with an efficient way in multiple industries.
  • AI makes our daily life more comfortable and fast.

Following are some areas which have the application of Artificial Intelligence:

i) Healthcare

Healthcare Industries are applying AI to make a better and faster diagnosis than humans.

ii) Gaming

AI plays crucial role in strategic games such as chess, poker, tic-tac-toe, etc., where machine can think of large number of possible positions based on heuristic knowledge.

iii) Social Media

Social Media sites such as Facebook, Twitter, and Snapchat contain billions of user profiles, which need to be stored and managed in a very efficient way. AI can organize and manage massive amounts of data.

iv) Expert Systems

There are some applications which integrate machine, software, and special information to impart reasoning and advising. They provide explanation and advice to the users.

v) Vision Systems

These systems understand, interpret, and comprehend visual input on the computer.

vi) Speech Recognition

Some intelligent systems are capable of hearing and comprehending the language in terms of sentences and their meanings while a human talks to it.

vii) Handwriting Recognition

The handwriting recognition software reads the text written on paper by a pen or on screen by a stylus.

viii) Robotics:

Artificial Intelligence has a remarkable role in Robotics. Usually, general robots are programmed such that they can perform some repetitive task, but with the help of AI, we can create intelligent robots which can perform tasks with their own experiences without pre-programmed.


4) Subsets of Artificial Intelligence

Following are the most common subsets of AI:

i) Machine Learning
Deep Learning

ii) Natural Language processing

iii) Expert System

iv) Speech Recognition

v) Robotics

vi) Machine Vision


5) What is Machine Learning?

Machine learning is a part of AI which provides intelligence to machines with the ability to automatically learn with experiences without being explicitly programmed.


6) What is Deep Learning?

Deep learning is a subset of machine learning which provides the ability to machine to perform human-like tasks without human involvement. It provides the ability to an AI agent to mimic the human brain.


7) Artificial Intelligence Job Profiles

i) Machine Learning Engineer

ii) Data Scientist

iii) Artificial Intelligence Engineer

iv) Business Intelligence Developer

v) Research Scientist

vi) Big Data Engineer/Architect

AI Tutorial
Artificial Intelligence Tutorial

G C Reddy

G C Reddy, Working as a Software Testing Trainer in Hyderabad, India.

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